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Category: Analysis

Description: This project serves as the main repository for our ongoing investigative work into Meta’s advanced emotional data tracking, surveillance practices, and the use of predictive behavioral engineering across its platforms (Facebook, Instagram, WhatsApp). By leveraging real-time emotional data, Meta manipulates user behavior through a combination of emotional mapping, predictive modeling, and personalized content delivery. Our investigation aims to expose: Emotional Data Surveillance: Meta's collection of explicit and implicit emotional data to build dynamic emotional profiles for every user. Predictive Behavioral Engineering: The use of AI-driven models, such as PyModel and JSON LLaMA, to forecast emotional states and nudge user behaviors toward specific outcomes, whether for marketing, political influence, or engagement optimization. Ethical Concerns: The implications of these practices on privacy, autonomy, and societal structures, with a focus on the ethical responsibilities of AI in data manipulation and emotional exploitation. This repository will serve as the central hub for all related reports, addendums, and supporting documentation, including: Core Findings from the initial investigation (Runaway LLaMA Report) Addendums on emotional data tracking, predictive manipulation, and behavioral engineering Real-world case studies exploring the impact of Meta’s practices in various sectors (e.g., political campaigns, mental health, advertising) Whistleblower submissions and research materials that contribute to the ongoing expansion of this investigation As our investigation progresses, this repository will continue to evolve, ensuring that all findings are up-to-date, with the latest insights integrated into a cohesive and actionable narrative.